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AI Engineer with less than a year in MERN, Python, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about coding and emerging tech, with a focus on backend development and machine learning. Eager to build secure, scalable solutions and grow through real-world projects and hands-on problem-solving.
Mandsaur University
Bachelor of Computer Science · Computer Science
August 1, 2022 – June 30, 2026
Mahaveer Jain National School
CBSE Board Class XII
June 1, 2021 – May 31, 2022
Library Management System – MERN Stack
October 1, 2025 – June 1, 2026
Built a full-stack application to manage books with features like add, issue, return, and delete using RESTful APIs. Integrated MongoDB with Mongoose for schema design and efficient data modeling. Implemented JWT-based authentication and role-based access control for secure login and permission handling. Applied Express.js middleware for input validation and centralized error handling.
Emotion Detection - GenAI Life OS
October 1, 2025 – June 1, 2026
Designed a multi-label classifier to detect 28 emotions from user inputs using OneVsRest with Logistic Regression. Preprocessed text using NLTK (tokenization, stopwords, lemmatization) and vectorized with TF-IDF. Tuned hyperparameters with GridSearchCV and evaluated with F1-score and classification report.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in both full-stack development and AI/ML, which aligns with the diverse skill set often required in an AI Engineer role. The competitive programming achievements suggest a drive for continuous learning and problem-solving, which can be a positive cultural fit. However, with only academic experience, the breadth of exposure to different team dynamics or corporate environments is limited.
Soft Skills & Operational Fit
The candidate lists leadership, problem-solving, critical thinking, teamwork, and adaptability as soft skills. While these are valuable, there is no empirical data from assessments or professional experience to validate their operational fit or proficiency in these areas. The project descriptions suggest an ability to work independently on defined tasks.